Search results for "big data."
showing 10 items of 310 documents
Artificial intelligence to counteract “KPI overload” in business process monitoring: the case of anti-corruption in public organizations
2023
PurposeThe nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring.Design/methodology/approachThe authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and imple…
The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review
2019
Whenever a disaster occurs, users in social media, sensors, cameras, satellites, and the like generate vast amounts of data. Emergency responders and victims use this data for situational awareness, decision-making, and safe evacuations. However, making sense of the generated information under time-bound situations is a challenging task as the amount of data can be significant, and there is a need for intelligent systems to analyze, process, and visualize it. With recent advancements in Artificial Intelligence (AI), numerous researchers have begun exploring AI, machine learning (ML), and deep learning (DL) techniques for big data analytics in managing disasters efficiently. This paper adopt…
Massadatan käyttö asiakasanalytiikassa : case Jyväskylän Energia
2017
Massadata on suuresti puhuttava lisäarvon luomisen lähde niin tieteellisille yhteisöille kuin yrityksillekin. Massadatan käsite elää kehittyvän teknologian mukana, mutta tavallisimmillaan sitä voi kuvata suurena määränä dataa, joka on monimuotoista ja kasvaa suurella nopeudella. Massadata mahdollistaa paljon liiketoiminnassa hyödynnettävässä analytiikassa, kuten liiketoimintatiedon hallinnan ja analytiikan prosesseissa sekä asiakasanalytiikassa. Asiakasanalytiikassa massadata mahdollistaa syvällisemmän asiakasymmärryksen saavuttamisen datasta ja sen hyödyntämisen asiakassuhdehallinnasta aina merkityksellisemmän asiakassegmentoinnin tekemiseen. Tutkimuksessa käsitellään ensin massadataa sen …
Oracle risinājumu pielietojums Big Data kontekstā
2016
Maģistra darbā tika apskatīti un analizēti Oracle un citu ražotāju piedāvātie risinājumi Big Data apstrādei un analīzei. Darbs satur teorētisku dažādu ražotāju rīku apskati un salīdzinājumu, kā arī praktisko daļu, kurā tiek analizētas datu savienošanas iespējas hibrīdā datu noliktavā. Par hibrīdo datu noliktavu tiek uzskatīta tāda datu noliktava, kurā daļa datu atrodas RDBMS sistēmā un daļa datu HDFS sistēmā. Darba galvenie mērķi ir analizēt šāda veida sistēmas veiktspēju, izmantojot dažādus datu apvienošanas veidus. Testu laikā tika apskatīti apskatīti gadījumi, kad datu apvienošana notiek RDBMS sistēmas pusē un gadījumi, kad datu apvienošana notiek HDFS sistēmas pusē, kā arī tika izpētīta…
A Collaborative Filtering Approach for Drug Repurposing
2022
A recommendation system is proposed based on the construction of Knowledge Graphs, where physical interaction between proteins and associations between drugs and targets are taken into account. The system suggests new targets for a given drug depending on how proteins are linked each other in the graph. The framework adopted for the implementation of the proposed approach is Apache Spark, useful for loading, managing and manipulating data by means of appropriate Resilient Distributed Datasets (RDD). Moreover, the Alternating Least Square (ALS) machine learning algorithm, a Matrix Factorization algorithm for distributed and parallel computing, is applied. Preliminary obtained results seem to…
“The datafication and commodification of Italian schools during the Covid-19 crisis. Implications for policy and future research”
2022
Big Data and algorithms increasingly inform public policymaking and institutional practices, producing an impact on people’s everyday life. An emerging body of scholarly research—Critical Data Studies—has been working on this role shedding light on how society’s current platformisation is linked to a much longer privatization and reorganization of the public sector. This chapter intends to reflect on how the Covid-19 pandemic has dramatically accelerated these processes focusing on school education in particular. Health Big Data and apps have been crucial to take concrete measures to fight the pandemic, while platforms have helped organize vaccination rounds. Nevertheless, they have also be…
Business Artificial Intelligence
2021
Nuestros medios de entretenimiento y de compra, teléfonos inteligentes y demás dispositivos, todo genera datos. En 2021, solo un minuto en Internet representaba 200.000 tweets, dos millones de visualizaciones en Twitch, 197 millones de correos electrónicos y 69 millones de mensajes de texto, y 1,6 millones de dólares en gastos de compras online. Este fenómeno, conocido como Big Data, comprende los datos que comparten las 3 V: volumen, velocidad y variedad. Sin embargo, la riqueza de información conlleva una pobreza de atención por nuestra parte, y desafía nuestra capacidad para concentrarnos en datos de diferentes fuentes al mismo tiempo, lo que vuelve necesario plantear sistemas automático…
Big Data and Antitrust Enforcement
2017
The interaction between information, innovation and market outcomes is shaping the modern digital industries of the 21st century: the business models of search engines, social networks, e-commerce websites and marketplaces are highly reliant on the ability to gather and process large amount of data. At the same time, it is increasingly recognized that the use of Big Data by online platforms and intermediaries has far-reaching consequences not only on economic activity, but also on social and political mechanisms: technological developments affecting information flows affect the organization of markets as well as the nature of individual interactions and the functioning of the political proc…
Big Data Processing in the ATLAS Experiment: Use Cases and Experience
2015
Abstract The physics goals of the next Large Hadron Collider run include high precision tests of the Standard Model and searches for new physics. These goals require detailed comparison of data with computational models simulating the expected data behavior. To highlight the role which modeling and simulation plays in future scientific discovery, we report on use cases and experience with a unified system built to process both real and simulated data of growing volume and variety.
Big Data in metagenomics: Apache Spark vs MPI.
2020
The progress of next-generation sequencing has lead to the availability of massive data sets used by a wide range of applications in biology and medicine. This has sparked significant interest in using modern Big Data technologies to process this large amount of information in distributed memory clusters of commodity hardware. Several approaches based on solutions such as Apache Hadoop or Apache Spark, have been proposed. These solutions allow developers to focus on the problem while the need to deal with low level details, such as data distribution schemes or communication patterns among processing nodes, can be ignored. However, performance and scalability are also of high importance when…